GPU-Based Acceleration of the Genetic Algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F10%3APU89562" target="_blank" >RIV/00216305:26230/10:PU89562 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
GPU-Based Acceleration of the Genetic Algorithm
Original language description
<div>Genetic algorithm, a robust, stochastic optimization technique, is effective in solving many</div><div>practical problems in science, engineering, and business domains. Unfortunatelly, execution</div><div>usually takes long time. In this paper, we study a possibility of utilization consumer-level</div><div>graphics cards for acceleration of GAs. We have designed a mapping of the parallel island</div><div>genetic algorithm to the CUDA software model and tested our implementation on GeForce</div><div>8800GTX and GTX285 GPUs using a Rosenbrock's, Griewank's and Michalewicz's benchmark</div><div>functions. Results indicates that our optimization leads to speedups up to seven thousand times</div><div>compared to single CPU thread while maintaing reasonable results quality.</div>
Czech name
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Czech description
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Project
<a href="/en/project/GAP103%2F10%2F1517" target="_blank" >GAP103/10/1517: Natural Computing on Unconventional Platforms</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 16th Conference Student EEICT 2010 Volume 5
ISBN
978-80-214-4080-7
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
Faculty of Information Technology BUT
Place of publication
Brno
Event location
FEKT VUT v Brně
Event date
Apr 29, 2010
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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